Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis
University of California, San Diego
Abstract
This paper provides a review of the literature in on-road vision-based vehicle detection, tracking, and behavior understanding. Over the past decade, vision-based surround perception has progressed from its infancy into maturity. We provide a survey of recent works in the literature, placing vision-based vehicle detection in the context of sensor-based on-road surround analysis. We detail advances in vehicle detection, discussing monocular, stereo vision, and active sensor-vision fusion for on-road vehicle detection. We discuss vision-based vehicle tracking in the monocular and stereo-vision domains, analyzing filtering, estimation, and dynamical models. We discuss the nascent branch of intelligent vehicles…
Citation impact
- FWCI
- 59.10
- Percentile
- 100%
- References
- 217
Authors
2Topics & keywords
- Computer vision
- Artificial intelligence
- Stereopsis
- Monocular vision
- Sensor fusion
- Computer science
- Monocular
- Perspective (graphical)
- Sustainable cities and communities